Analysis of the Influencing Factors of Hospital Big Data Application and the Countermeasures

Abstract：Objective To analyze the influencing factors that restrict the application of big data in the field of hospital,and to study countermeasures and methods to promote the application of hospital big data.Method The study employed the Delphi method and carried out a survey about influencing factors of hospital big data application with self-designed questionnaires.A total of 104 valid questionnaires were collected from 64 member institutions of the medical branch of the Chinese Research Hospital Association,and the effective recovery rate was 94.55％.Result Application promotion score is (4.14±0.65),management method is (4.07±0.60),and data foundation is (3.88±0.82).No statistical significance was found in the difference of attitude towards influencing factors among groups of different sex,age,title and job (P＞0.05).Multivariate linear regression analysis showed that the management method (b=-0.381,P=0.019) and the "lack of talents specialized in big data" (b=-0.268,P=0.011) would have a significant negative impact on the application of hospital big data.Conclusion The application level of hospital big data can not meet the needs of medical personnel effectively.Measures should be taken starting from the top design of management to strengthen the training of big data professionals.And at the same time,attention should be paid to the improvement in the basic quality of data as well as the promotion strength of application.